Results 261 to 270 of about 475,858 (311)

Volatile components of starfruit

Phytochemistry, 1990
Abstract Volatile components of starfruit (carambola) were analysed using routine procedures. In all, 178 components ( ca 95% ofthe isolate) were positively identified, of which 116 are reported as starfruit volatiles for the first time. A further 31 components ( ca 2%) were partially characterized.
Glesni MacLeod, Jennifer M. Ames
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Volatile components of figs

Food Chemistry, 1977
Abstract Volatile essences of Calimyrna, Kadota, Black Mission and Adriatic figs were prepared by passing large volumes of headspace gas through porous polymer traps at room temperature. The essences were analysed by gas chromatography, utilising wall-coated open-tubular glass capillary columns; structural elucidations were based on gas ...
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Volatile Components of Pineapple

Journal of Food Science, 1968
SUMMARY— By gas chromatographic retentions, infrared spectroscopy and where applicable, mass and nmr spectroscopy, several additional compounds have been identified as components of pineaapple essence. These are acetoxyacetone, dimethyl malonate, trans‐tetrahydro‐α,α,trimethyl‐5‐vinyl fur‐furyl alcohol, methyl ...
R. K. CREVELING, R. M. SILVERSTEIN, W. G. TENNINGS   +2 more
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Volatile Flavor Components of Rice Cakes

Journal of Agricultural and Food Chemistry, 1999
Volatiles were obtained from commercially prepared and laboratory-prepared rice cakes using high-flow dynamic headspace isolation with Tenax trapping. Analysis was carried out by capillary GC/MS. More than 60 compounds were identified. Major volatiles included 1-hydroxy-2-propanone, furfuryl alcohol, 2, 5-dimethylpyrazine, 2-methylpyrazine, pyrazine ...
R G, Buttery, W J, Orts, G R, Takeoka, Y, Nam   +3 more
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Volatile Components of Green Walnut Husks

Journal of Agricultural and Food Chemistry, 2000
Volatiles were isolated from whole green mature walnuts (Hartley variety) with husks still intact using dynamic headspace sweeping with trapping on Tenax. A total of 45 volatile compounds were identified by GC-MS. Major volatiles identified included (E)-4, 8-dimethyl-1,3,7-nonatriene, pinocarvone, pinocarveol, myrtenal, myrtenol, (E,E)-4,8,12-trimethyl-
R G, Buttery, D M, Light, Y, Nam, G B, Merrill, J N, Roitman   +4 more
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Evaporation of volatile component from intermetallic granule with non-volatile component shell

Vacuum, 1999
Abstract A problem of evaporation of a volatile component A from a spherical granule with an intermetallic core A n B m and a protective shell of a nonvolatile component B has been studied. Solution of the given problem (which belongs to the so-called Stefan's-type problems with two moving boundaries) was obtained by asymptotic method.
K.A. Chuntonov, V.G. Postovalov, A.G. Kesarev   +2 more
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Volatile Components ofCleistopholis patens

Planta Medica, 1988
Volatile oils of the leaves, fruits and stem-bark of CLEISTOPHOLIS PATENTS Engl. et Diels. (Annonacae) were analysed by means of gas chromatography (GC) and gas chromatography-mass spectrometry (GC-MS). A total of sixty-one components were identified; qualitative and quantitative differences in the oil composition were observed. The leaf oil contained (
O, Ekundayo, I, Laakso, B, Oguntimein, R, Hiltunen   +3 more
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Volatile components of chayote

Phytochemistry, 1990
Abstract Using established procedures, volatile components of chayote were analysed for the first time. A total of 61 components ( ca 97% of the isolate) was positively identified, and a further four components ( ca 2%) were partially characterized.
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Pricing Volatility of Stock Returns With Volatile and Persistent Components

SSRN Electronic Journal, 2007
This paper introduces a two-component volatility model based on first moments of both components to describe the dynamics of speculative return volatility. The two components capture the volatile and the persistent part of volatility, respectively. The model is applied to 10 Asia-Pacific stock markets. Their in-mean effects on returns are tested.
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ECONOMETRIC ANALYSIS OF VOLATILITY COMPONENT MODELS

Econometric Theory, 2014
Volatility component models have received considerable attention recently, not only because of their ability to capture complex dynamics via a parsimonious parameter structure, but also because it is believed that they can handle well structural breaks or nonstationarities in asset price volatility.
Wang, Fangfang, Ghysels, Eric
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